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Statistical analyses for language te...
~
Green, Rita, (1956-)
Statistical analyses for language testing
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Statistical analyses for language testing/ Rita Green.
Author:
Green, Rita,
Published:
New York :Palgrave Macmillan, : 2013.,
Description:
1 online resource.
Subject:
Language and languages - Study and teaching -
Online resource:
http://www.palgraveconnect.com/doifinder/10.1057/9781137018298
ISBN:
9781137018298 (electronic bk.)
Statistical analyses for language testing
Green, Rita,1956-
Statistical analyses for language testing
[electronic resource] /Rita Green. - New York :Palgrave Macmillan,2013. - 1 online resource.
Foreword; J. Charles Alderson -- 1. Data Entry -- 2. Checking and Correcting Data Files -- 3. Item Analysis -- 4. Descriptive Statistics -- 5. Analysing Test Taker Feedback -- 6. Comparing Performance I: Means, Scatterplots and Correlations -- 7. Comparing Performance II: Parametric and Non-Parametric Analyses -- 8. Comparing Performance III: ANOVA -- 9. Factor Analysis -- 10. Creating a Control File and Convergence Table -- 11. Analysing the Convergence Table and Variable Map -- 12. Item and Person Statistics -- 13. Distracter Analysis -- 14. Creating and Running a Specifications File -- 15. Analysing the Iteration Report and Vertical Ruler -- 16. Raters and Item Measurement Reports -- Appendices.
'SALT' provides a step-by-step approach to the most useful statistical analyses for language test developers and researchers based on the programs IBM SPSS, Winsteps and Facets. Each chapter focuses on one particular type of analysis, for example, analysing how items in a test are performing or investigating the relationship between two variables. Each chapter begins with an introduction as to why this particular analysis is important for the language tester and then provides explanations about the terms and concepts which the reader will meet in the chapter. The method for carrying out each analysis is then described in a systematic manner guiding the reader through the procedure for that particular analysis. The main aspects of the output files are then investigated and the results explained. Eleven of the book's appendices provide further opportunities for the reader to repeat many of the statistical procedures on different data sets. Questions guide the reader in checking their understanding of the statistical procedures and output tables.
ISBN: 9781137018298 (electronic bk.)
Source: 572486Palgrave Macmillanhttp://www.palgraveconnect.comSubjects--Topical Terms:
940956
Language and languages
--Study and teachingIndex Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: P53.815 / .G74 2013
Dewey Class. No.: 418.0076
Statistical analyses for language testing
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Foreword; J. Charles Alderson -- 1. Data Entry -- 2. Checking and Correcting Data Files -- 3. Item Analysis -- 4. Descriptive Statistics -- 5. Analysing Test Taker Feedback -- 6. Comparing Performance I: Means, Scatterplots and Correlations -- 7. Comparing Performance II: Parametric and Non-Parametric Analyses -- 8. Comparing Performance III: ANOVA -- 9. Factor Analysis -- 10. Creating a Control File and Convergence Table -- 11. Analysing the Convergence Table and Variable Map -- 12. Item and Person Statistics -- 13. Distracter Analysis -- 14. Creating and Running a Specifications File -- 15. Analysing the Iteration Report and Vertical Ruler -- 16. Raters and Item Measurement Reports -- Appendices.
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'SALT' provides a step-by-step approach to the most useful statistical analyses for language test developers and researchers based on the programs IBM SPSS, Winsteps and Facets. Each chapter focuses on one particular type of analysis, for example, analysing how items in a test are performing or investigating the relationship between two variables. Each chapter begins with an introduction as to why this particular analysis is important for the language tester and then provides explanations about the terms and concepts which the reader will meet in the chapter. The method for carrying out each analysis is then described in a systematic manner guiding the reader through the procedure for that particular analysis. The main aspects of the output files are then investigated and the results explained. Eleven of the book's appendices provide further opportunities for the reader to repeat many of the statistical procedures on different data sets. Questions guide the reader in checking their understanding of the statistical procedures and output tables.
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